DevOps

Resources

lists

Roadmaps

Tools

Release management

Generators & Template Engines

  • jsonnet json templating engine (support for many formats available)
  • ytt yaml templating engine
  • plopjs
  • Hygen
  • Yeoman

Linters

  • Emmet: Emmet is a web-developer’s toolkit for boosting HTML & CSS code writing.

Documentation

  • Verb: Verb is a documentation build system for GitHub projects powered by node.js. Verb has full support for gulp and assemble plugins and can be used to create documentation generators, themes, documentation websites and much more!

Testing

Chaos Engineering

Testing

Test Driven Development (TDD)

Unit Testing

Implementation Testing

E2E Testing

Behavior Driven Development (BDD)

Static Analysis

Dependency analysis

Other

Chaos engineering

Chaos Engineering is the discipline of experimenting on a system in order to build confidence in the system’s capability to withstand turbulent conditions in production.

CICD

Platforms

Azure DevOps

AWS DevOps

Github

Gitlab

  • GLab Gitlab CLI inspired by gh
  • release-clicreate release objects in GitLab

Workspaces

Monorepos

Build systems and other monorepository tools

Monorepo Examples

IDEs

Vs Code

Plugins

Jetbrain

Remote editors

Teams and KPIs

Software development analytics

  • :star: GrimoireLab - Suite of tools tutorial
  • :star: hercules Fast, insightful and highly customizable Git history analysis.
  • Apache Kibble Apache Kibble is a suite of tools for collecting, aggregating and visualizing activity in software projects.
  • srcML
  • sourcecred A tool for communities to measure and reward value creation.
  • git-stats Local git statistics including GitHub-like contributions calendars.
  • git-quick-stats a simple and efficient way to access various statistics in a git repository.
  • git-hammer Git Hammer is a statistics tool for projects in git repositories.

Metrics

  • Lead Time Lead time measures how long it takes for a change to occur.
    Measuring the average time it takes for a concept to go from an idea to implementation is an effective metric for evaluating workflow and productivity. Reduced lead times indicate that your DevOps team is adaptive, productive, and capable of addressing feedback promptly.
  • Deployment Frequency Deployment frequency denotes how often new features or capabilities are launched. Frequency can be measured on a daily or weekly basis. Many organizations prefer to track deployments daily, especially as they improve efficiency.
  • Deployment Time How long does it take to roll out deployments once they’ve been approved?
  • Change Volume Deployment frequency means little if the majority of deployments are of little consequence.
  • Failed Deployment Rate Sometimes referred to as the mean time to failure, this metric determines how often deployments prompt outages or other issues.
  • Change Failure Rate The change failure rate refers to the extent to which releases lead to unexpected outages or other unplanned failures.
  • Time to Detection A low change failure rate doesn’t always indicate that all is well with your application.

  • Mean Time to Recovery (MTRR) - Once failed deployments or changes are detected, how long does it take actually to address the problem and get back on track?

  • Defect Escape Rate Every software deployment runs the risk of sparking new defects. These might not be discovered until acceptance testing is completed. Worse yet, they could be found by the end user.

  • Defect Volume This metric relates to the escape rate highlighted above, but instead focuses on the actual volume of defects. While some defects are to be expected, sudden increases should spark concern. A high volume of defects for a particular application may indicate issues with development or test data management.
  • Availability Availability highlights the extent of downtime for a given application.
  • Unplanned Work How much time is dedicated to unexpected efforts? The unplanned work rate (UWR) tracks this in relation to time spent on planned work. Ideally, the unplanned work rate (UWR) will not exceed 25 percent.
  • Cycle Time Cycle time metrics provide a broad overview of application deployment.

Time to Value Sprint Accuracy Flow Efficiency

Articles & Tutorials

Infrastucture as code

**Moved to Awesome-IaC

Tutorials

Concepts

Workflows

Agile

GitOps

DevOps

Software Architecture

Infrastructures

Cloud Functions (FaaS)

  • Serverless (js/python)
  • OpenFaas

Infrastructure as code (IaC)

  • Terraform
  • Terragrunt
  • Terraspace
  • AWS SAM
  • CloudFormation

Developer Experience

  • Source of truth
  • Toolchain

Code Quality

Internal developer platforms (IDPs)

  • backstage.io open platform for building developer portals
  • portainer centralized service delivery platform for containerized apps

Toolchain

Scaffolding